Abstract

Educational video games (EVGs) are gaining momentum as a means of increasing students’ motivation in their learning process. Nevertheless, teachers might face several barriers that dissuade them from using educational video games in their courses. This study analyses factors affecting teachers´ behavioural intention to use educational video games in their courses using a Technology Acceptance Model (TAM) approach. The research model is tested via structural equation modelling (SEM) on a sample of 312 teachers in Higher Education institutions. Results suggest that perceived usefulness influences in a direct and positive way teachers’ intention to use educational video games. Results also suggest that perceived ease of use indirectly influence intentions through perceived usefulness. Age was found to moderate the effect of teachers’ perceived ease of use on perceived usefulness of EVGs. Regarding managerial implications, our findings highlight the importance of addressing specific Teacher Training Programmes focusing on teachers’ age and perceived usefulness of EVGs in order to encourage teachers to adopting this educational innovation in their courses. Limitations of the study and future research lines are also addressed.

Abstract

Abstract: Online learning constitutes the most popular distance‑learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent acro
ss all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model (TAM) to examine perceived satisfaction of an Arabic sample in online learning. The integrated factors in the modified model includes: deep level (lea
rning styles), surface level (gender), and cognitive (online self‑efficacy) factors. Learning styles were chosen as a central factor. Hence, the online course was purposefully developed to support one pole in each dimension of Felder and Silverman Le
arning Styles Model (FSLSM) in order to reveal the pedagogical implications of learning styles on learner satisfaction. A total of 70 learners participated voluntarily in the research. At the end of the online course, they were requested to fill in two
questionnaires: the Index of Learning Styles (ILS) and a standard questionnaire. The psychometric properties of the latter were firstly analysed to validate the instrument. Then, Partial Least Squares Structural Equation Modelling (PLS‑SEM) was conduc
ted to examine the proposed hypotheses. The model achieves an acceptable fit and explains 44.8% of variance. Perceived usefulness represented the best predictor, whereas online self‑efficacy and perceived ease of use failed to show a direct impact on perc
eived satisfaction. Furthermore, neither learning styles nor gender diversity had direct influence on the dependent factors. Accordingly, the research suggested that other variables may have to be integrated to enhance the power of the model.